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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
Science, Geoinformatics, Geographic Information Science, Urban Planning, or a closely related field. Required Qualifications, Competencies, and Experience - Ph.D. in Geography, Environmental Science
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or equivalent terminal degree (such as MD, DVM, PsyD, PharmD, etc.), and candidates should have strong English skills and demonstrate an ability to write and communicate with a scientific audience
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the Department of Medical Education and the Department of Informatics and Health Data Science at the University of Miami Miller School of Medicine offers a unique opportunity to advance the integration
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symptoms across the healthcare system, by integrating neuroimaging, psychophysiology, and computational modeling. Our work spans from basic science to clinical/translational neuroscience with humans, and our
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Science. The position will begin in August 2025. The position includes teaching courses in the Applied Behavior Analysis and Clinical Science master's program. The teaching load is 24 credit hours to be
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: 276110766 Position: Postdoctoral Research Associate Description: A Postdoctoral Research Associate or more senior research position in computational biology is available in the Pritykin lab at the Lewis
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in Neurodevelopmental Disability (LEND) interdisciplinary training program. Research areas of emphasis include sensorimotor processes and cognitive abilities in autism spectrum disorder (ASD
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Qualifications • Ph.D. in Chemical Engineering, Materials Science, Chemistry, or related field • Experience with computational modeling and simulation of polymers • Record of first-author publications Preferred
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individual with an M.D. or Ph.D. in Biomedical Science, Kinesiology, Movement Science, Occupational Therapy, or a related field. The ideal candidate will have demonstrated expertise in the following areas
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, transportation, and more, with a special emphasis on grid resilience assessments and equity analysis. You will have the opportunity to creatively use interdisciplinary methods from computational data science